Predicting customer’s gender and age depending on mobile phone data

Author:

Al-Zuabi Ibrahim MousaORCID,Jafar Assef,Aljoumaa Kadan

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference28 articles.

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3. Zufiria P, Pastor-Escuredo D, Úbeda-Medina L, Hernández-Medina M, Barriales-Valbuena I, Morales A, Nkwambi W, Quinn J, HidalgoSanchís P, LuengoOroz M. Mobility profiles and calendars for food security and livelihoods analysis. Actes du Challenge D4D, Netmob 2015.

4. Martinez-Cesena EA, Mancarella P, Ndiaye M, Schläpfer M. Using mobile phone data for electricity infrastructure planning. 2015. arXiv preprint arXiv:1504.03899 .

5. Wesolowski A, Eagle N, Tatem AJ, Smith DL, Noor AM, Snow RW, Buckee CO. Quantifying the impact of human mobility on malaria. Science. 2012;338(6104):267–70.

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